Efficient Deep Learning Neural Network Based Brain Tumour Detection System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 89 | Views: 332

Research Paper | Computer Science | India | Volume 9 Issue 9, September 2020 | Popularity: 6.4 / 10


     

Efficient Deep Learning Neural Network Based Brain Tumour Detection System

Satyak Babar, Ansaf Raza, Anto S


Abstract: The work of this project is applying the convolution neural network concept to perform brain tumors segmentation using MRI images of brain and to measure its accuracy. The used method aims to find cancerous cells in brain using Deep learning based Fully Convolution network using U-net model. It has been compared with various other techniques and conclusions are made.


Keywords: U-net, glioma, pooling, segmentation, edema, necrosis


Edition: Volume 9 Issue 9, September 2020


Pages: 349 - 352



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Satyak Babar, Ansaf Raza, Anto S, "Efficient Deep Learning Neural Network Based Brain Tumour Detection System", International Journal of Science and Research (IJSR), Volume 9 Issue 9, September 2020, pp. 349-352, https://www.ijsr.net/getabstract.php?paperid=ART20197168, DOI: https://www.doi.org/10.21275/ART20197168

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